24 - HPC-Cafe 2022-01-18: Using File Systems Properly/ClipID:40199 previous clip next clip

Recording date 2022-01-18
* Automated closed captions generated with Whisper Open AI

Via

Free

Language

English

Organisational Unit

Zentrum für Nationales Hochleistungsrechnen Erlangen (NHR@FAU)

Producer

Zentrum für Nationales Hochleistungsrechnen Erlangen (NHR@FAU)

Speakers: Markus Wittmann and Georg Hager, NHR@FAU

Slides available at https://hpc.fau.de/files/2022/01/2022-01-11-hpc-cafe-file-systems.pdf

We provide some guidelines for handling large collections of files in your batch jobs on our  systems. We have observed phases of heavy overload on NFS file servers when certain types of jobs are running. This is caused by jobs which handle data ineffectively - especially data scattered over many thousands of files, but also data that is accessed frequently -, thereby slowing down file operations to a crawl. This has an impact on all users, not only those who  actually cause the problem.

In this talk we give a quick overview of the available file systems and show you some strategies to avoid such situations by using local disks within the compute nodes instead of the shared NFS servers.

More clips in this category "Friedrich-Alexander-Universität Erlangen-Nürnberg Zentralbereich"

2023-05-22
IdM-login
protected  
2023-05-31
Studon
protected  
2023-05-15
IdM-login
protected  
2023-05-16
Studon
protected  
2023-05-31
Studon
protected